Set the optimization method.
The primary task of Sherpa is to fit a model M(p) to a set of observed data, where the vector p denotes the model parameters. An optimization method is one that is used to determine the vector of model parameter values, p0, for which the chosen fit statistic is minimized.
meth (str) – The name of the method (case is not important). The
list_methodsfunction returns the list of supported values.
sherpa.utils.err.ArgumentErr – If the
methargument is not recognized.
Return the name of the current optimization method.
List the supported optimization methods.
Set the fit statistic.
The available methods include:
The Levenberg-Marquardt method is an interface to the MINPACK subroutine lmdif to find the local minimum of nonlinear least squares functions of several variables by a modification of the Levenberg-Marquardt algorithm .
The implementation of the moncar method is based on .
The implementation of the Nelder Mead Simplex direct search is based on .
This is another name for